AI Engineer

 Design, develop, and deploy AI/ML solutions for VTION.ai's products and platforms.

- Build and integrate LLM-powered applications using models such as GPT, Claude, Gemini, or open-source LLMs.

- Develop RAG (Retrieval-Augmented Generation) pipelines, semantic search, embeddings, and vector-based solutions.

- Work on NLP and text intelligence use cases such as classification, summarization, sentiment analysis, entity extraction, and content understanding.

- Develop AI-powered features that leverage VTION's consumer and behavioral datasets.

- Build and optimize AI pipelines for large-scale data processing and inference.

- Experiment with different models, prompts, architectures, and approaches to improve accuracy, latency, and cost.

- Fine-tune or adapt models where required for specific business use cases.

- Develop APIs and services to integrate AI capabilities into existing products.

- Collaborate with Product and Engineering teams to take AI solutions from POC to production.

- Monitor model performance, reliability, latency, and cost in production.

- Implement appropriate evaluation frameworks to measure the quality and accuracy of AI outputs.

- Stay updated with developments in Generative AI, LLMs, Agentic AI, NLP, and emerging AI technologies.